… MACHINE LEARNING TECHNIQUES In this section the most popular text classification
algorithms are described. They include artificial neural networks (including Support Vector …

… machine learning techniques. This paper provides a review of the theory and methods of
document classification … artificial neural network in classification tasks is the ability in handling …

… document classification process using OCR in RPA processes combined with the application
of artificial intelligence. … the use of techniques and algorithms of AI throughout the process. …

… Existing supervised learning algorithms for classifying text need sufficient documents …
algorithm for text classification using artificial intelligence technique that requires fewer documents …

… Based on the empirical analysis of 8965 digital documents from … lead to the development of
a document classification standard. This … The algorithm can use this to independently classify …

… Following our results and previously published studies in document classification [12, 14],
we limit our discussion to linear SVM. The dual form of the linear SVM optimisation problem is …

… classified applications of machine learning according to different machine learning algorithm
… In document categorization, the texts are catalogued and it is a problem in library science, …

… algorithm as per the arrival of new data. This paper covers different machine learning algorithms
for text classification … includes classifier architecture and Text Classification applications. …

… Using artificial intelligence techniques combined with natural language and statistical
processing approaches, they have created a variety of engines that recognize the type of …

… intensified the need for effective textual document classification algorithms. Most real life …
artificial neural network (DAN2) algorithm as an alternative approach for text classification. We …